Armenian match-fixer who made more than $9 million by fixing
tennis matches in just two years has stated that he is ‘proud’ of what he did.
The tennis world was rocked with the arrest of Grigor
Sargsyan who was an Armenian immigrant living in Belgium.
The individual, who was nicknamed ‘Maestro’, admitted that
he masterminded the biggest illegal betting ring in the sport where more than
180 players were corrupted, according to Daily Mail.
Sargsyan turned his $350 savings into $9 million and called
himself the ‘Robin Hood’ of the tennis world.
He was jailed for five years after being arrested by the
SWAT authorities in Belgium from his penthouse.
It was reported that more than 350 matches were corrupted
because of the match-fixing ring operated by Sargsyan. He was also quoted in
the report where he said that he was ‘proud’ of what he did.
The report further stated that the majority of the players
who were involved in corrupt activities were from the lower level.
It was also
revealed that in some matches, both players were on board with Sargsyan’s group
to be a part of match-fixing where they ended up dropping points, service games
and sets.
Azeem Siddiqui is a seasoned sports journalist and data analyst with a strong background in both digital media and live sports production.
He began his journalism career working with partners of The New York Times and has since contributed to several leading international sports publications, including Fox Sports Asia, Calciomercato, and GiveMeSport. Since 2023, Azeem has been part of the TennisUpToDate team, where he has played a key role in sustaining the platform’s growth and ensuring tennis fans receive timely and reliable coverage of the sport’s biggest stories.
In addition to his editorial work, Azeem has extensive experience as a data analyst in live sports broadcasting—particularly in cricket—where he combines analytical precision with creative storytelling. He has collaborated with multiple production companies and cricket boards worldwide, delivering real-time insights and data-driven narratives during live match coverage.